Data Engineer: Build Lab Data Pipelines for Analytics

GRAIL; North Carolina; On-site; USD 86,000 - 106,000; Full time

Benefits offered by this job

401(k) with match

Medical/Dental/Vision coverage

Flexible time off

Mindfulness programs

Job summary

GRAIL is seeking a Data Engineer for the Operational Technology team in RTP, North Carolina. You will build and maintain data pipelines connecting lab instruments, automation systems, and analytics platforms to a reliable data foundation.

This on-site role requires ownership of end-to-end ingestion and transformation, with on-call rotations for production incidents. You will work with engineers, lab operations, data scientists, and automation engineers to ensure data flows are reliable and well

Qualifications

• Degree in Computer Science, Mathematics, Software Engineering, Data Science, Life Sciences, Physics or similar field.
• 1+ years of relevant experience in data engineering or related field.
• Proficiency in SQL.
• Proficiency with programming languages such as Python, Rust, C++, or similar.
• Understanding of ETL/ELT pipelines and relational databases.
• Strong attention to detail and data quality.
• Ability to collaborate in cross-functional teams and adapt to change.
• Analytical mindset and problem-solving ability.

Responsibilities

• Build and maintain data pipelines ingesting information from lab instruments, automation systems, sequencers, and databases.
• Deliver clean, trustworthy datasets for analytics, reporting, and AI systems.
• Develop and optimize SQL and transformation logic to model data.
• Create datasets and models for dashboards, analytics, and AI‑enabled workflows.
• Implement orchestration, testing, monitoring, and alerts for data reliability.

Skills

SQL

Python

Rust/C++

Data modeling

Team collaboration

Analytical mindset

Education

BS in CS/Math/SE/Data Sci

Tools

Airflow

dbt

AWS S3

Redshift

Glue

Snowflake

Git

Job description

GRAIL is seeking a Data Engineer for the Operational Technology team in RTP, North Carolina. You will build and maintain data pipelines connecting lab instruments, automation systems, and analytics platforms to a reliable data foundation.

This on-site role requires ownership of end-to-end ingestion and transformation, with on-call rotations for production incidents. You will work with engineers, lab operations, data scientists, and automation engineers to ensure data flows are reliable and well